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For anyone interested in getting their toes wet with deploying ML on small embedded devices, I cannot overstate how amazing Edge Impulse is (https://edgeimpuls
by parkaboy 5y ago
For anyone interested in getting their toes wet with deploying ML on small embedded devices, I cannot overstate how amazing Edge Impulse is (https://edgeimpulse.com https://edgeimpulse.com).
- syntaxing 5y agoReally interested hearing your experience with them! I worked on a project a decade ago on predictive analytics and it cost almost seven digits and required a decent amount of infrastructure overhead. Curious how this perform since everything runs on the board.
- moh_maya 5y agoIf nothing else, follow their guides for the arduino nano 33 ble sense + TinyML. They are a lot of fun! [1] https://docs.edgeimpulse.com/docs/continuous-motion-recognition https://docs.edgeimpulse.com/docs/continuous-motion-recognit... [2] https://tinymlbook.com/ https://tinymlbook.com/
- datameta 5y agoThe TinyML book by Pete Warden and Daniel Situnayake is an invaluable resource to getting started! Above all else I would recommend coming up with the top level details of a potential project as you work through the book' tutorials. Learning by doing (especially something one enjoys) is above all else the best way to truly grok something.
- datameta 5y agoMost if not all of the weekly webinars and all the recordings from TinyML Asia 2020 and TinyML Summit 2021 are on this youtube channel: https://youtube.com/c/tinyML https://youtube.com/c/tinyML